Instructions to use yetessam/gemma-2-2B-it-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yetessam/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yetessam/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yetessam/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/yetessam/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://yetessam/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yetessam/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 91ad360a5f6a7dd8b4f5ee856c1225c1a7e36537a337160508e6c9e3f8e438d8
- Size of remote file:
- 5.62 kB
- SHA256:
- 28c9ec2496d44b13d5641dc146d8f49b1521591f527bb4e35a2c3792d0c136bf
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